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Data Improvements in Nigeria

Open awisemanapple opened this issue 7 years ago • 0 comments

Task Description

This task outlines work to improve map data in Nigeria. We plan to work on improving the road network, such as adding missing roads, fixing network issues such as missing connections or crossing roads, and other related issues. We also plan to update and correct coastline and water features as we find them, and correct and improve land use and land cover polygons where needed, such as airports, national parks, forests, colleges and universities, and so on -- remove duplicates, correct the boundaries, fix incorrect tags and other similar things.

Improvements that are intended to be addressed include the following:

  • Improving road classification consistency following Highway Tag Africa and Nigeria guidelines.
  • Adding missing roads
  • Correcting road connectivity issues
  • Improving road classification consistency according to local and OSM guidelines
  • Correcting coastline and water features
  • Adding or correcting land use polygons
  • Other one-off fixes

Examples of these are provided below.

Mapping Guidelines

The team will follow OSM, regional, and local policy, along with any other guidelines as appropriate. We emailed the talk-ng email list for suggestions and feedback as well.

For water and coastlines, the team will follow OSM coastline guidelines, waterways policy such as water and natural=water and local policy along with any other policy as appropriate. Some coastlines are connected to administrative boundaries, in which case we will adjust both if appropriate Where we see them, we will remove the source=PGS tag, which was from an earlier coastline import that needs to be cleaned up. We received a message on the India coastlines project requesting this, and it is commonly done in other coastline improvement edits.

The team will use the imagery and data sources specified below as needed for mapping in Nigeria.

When in doubt, the team will use the existing tags and data which are used locally. The history in JOSM (ctrl-H) identifies what previous mappers added and their notes and/or explanations regarding changes made. This history can also show if a previous mapper has visited that area or has expert knowledge or sources.

There are a number of small HOT tasks set up by the local community to improve the road network in various states and regions. We will work on them as well, and for the tasks which are 100% marked as done, we will work on validating. They are tasks 1355, 1358, 1370, 1371, 1420, 1421, 1422, 1433, 1438, 1450, 1451, 1454, 1482, 1511, 1725, 2247, 2572, 2636, 2692, 2768, 2861, 2995, 3229, 3326 on the HOT Tasking Manager.

The team will mostly be working on unclassified roads and up.

Our team uses the hashtag #adt (for Apple Data Team) for our edits.

Area of Focus

Throughout Nigeria.

Tools

The team will use JOSM for completing the task. JOSM has validation warnings for road networks and other possible issues that are important to prevent improper changes.

Sources

  • Maxar/Digital Globe Standard/Premium
  • Bing
  • Mapbox
  • HOT task imagery
  • ESRI
  • Mapillary
  • KartaView (formerly OpenStreetCam)
  • OpenAerialMap
  • Pic4Carto
  • Strava and OSM GPS traces

The team will apply image offsets as needed.

Task Examples

Here are some examples of the issues the team plans on resolving:

Fixing connectivity and missing roads

  • Finding and fixing overlapping ways, gaps, and unconnected junctions.

Missing connections

Areas with missing roads

missing

Finding inconsistent road classifications

  • Roads with inconsistent classification often switch between multiple highway values along the same stretch of road.

Road switching from residential to motorway and back motorway_residential

Small road tagged as secondary, should be unclassified or service class2

Alignment

  • Align roads using imagery, Strava and local GPS traces.

align align2

Roads only visible in new Digital Globe imagery

onlydg

onlydg2

onlydg3

Changeset Comments

The team will provide changeset comments that are in compliance with OSM changeset guidelines.

Error Detection

The team will check for errors visually and using JOSM validation warnings prior to committing the changeset.

In addition, the team will review its work in accordance with the task guidelines including the OSM Wiki and LearnOSM validation guidelines

Contributors

MapRoulette

We have also posted MapRoulette challenges related to the road network: https://maproulette.org/browse/projects/39482

For more information

Our community lead is Teddy Ahlvin and our editing leads are Jon Westlake and Erica Olson. To get in touch with Teddy, you can email or contact him via OSM. All of our leads can be reached via email.

OSM Wiki

awisemanapple avatar Sep 11 '17 17:09 awisemanapple